In: Finance
Assessing return and risk???Swift Manufacturing is evaluating an asset purchase. The annual rate of return and the related probabilities given in the following table summarize the? firm's analysis to this? point:
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.
a.??Compute the range of possible rates of return.
b.??Compute the expected return.
c.??Compute the standard deviation of the returns.
d.??Compute the coefficient of variation of the returns.
Table:
Rate of return |
Probability |
|
55% |
0.05 |
|
10?% |
0.05 |
|
15?% |
0.10 |
|
20?% |
0.10 |
|
25?% |
0.35 |
|
30?% |
0.15 |
|
35?% |
0.10 |
|
40?% |
0.05 |
|
45?% |
0.05 |
a. Range =
In statistics, the range of a set of data is the difference between the largest and smallest values.
Largest value = 0.35
Smallest value = 0.05
Hence, range = 0.35 - 0.05 = 0.30
b. Excpected Return = 27.75%
Rate of return (Col. A) |
Probability (Col. B) |
Probability * Rate of Return (Col. C = Col. A * Col. B) |
55% |
0.05 |
0.0275 |
10% |
0.05 |
0.005 |
15% |
0.1 |
0.015 |
20% |
0.1 |
0.02 |
25% |
0.35 |
0.0875 |
30% |
0.15 |
0.045 |
35% |
0.1 |
0.035 |
40% |
0.05 |
0.02 |
45% |
0.05 |
0.0225 |
Expected Return (Sum of all values in col. C in table above) = 27.75%
c. Standard Deviation = 10.305%
Rate of return |
Probability |
Deviation from Expected Return |
Squared Deviation |
Probability * Squared deviation |
55% |
0.05 |
= 0.55 - 0.2775 =0.27250 |
0.07426 |
0.00371 |
10% |
0.05 |
= 0.1 - 0.2775 = -0.17750 |
0.03151 |
0.00158 |
15% |
0.1 |
= 0.15 - 0.2775 = -0.12750 |
0.01626 |
0.00163 |
20% |
0.1 |
= 0.2 - 0.2775 = -0.07750 |
0.00601 |
0.00060 |
25% |
0.35 |
= 0.25 - 0.2775 = -0.02750 |
0.00076 |
0.00026 |
30% |
0.15 |
= 0.3 - 0.2775 = 0.02250 |
0.00051 |
0.00008 |
35% |
0.1 |
= 0.35 - 0.2775 = 0.07250 |
0.00526 |
0.00053 |
40% |
0.05 |
= 0.4 - 0.2775 = 0.12250 |
0.01501 |
0.00075 |
45% |
0.05 |
= 0.45 - 0.2775 = 0.17250 |
0.02976 |
0.00149 |
Standard deviation = Square Root of Sum of all Squared deviation
Sum of all squared deviations = 0.01062
Standard deviation = square root of 0.01062 = 0.10305 = 10.305%
d. A coefficient of variation (CV) is a statistical measure of
the dispersion of data points in a data series around the mean. It
is calculated as follows: (standard deviation) / (expected
value)
CV = 10.305%/27.75% = 0.3713